mak-baseline-small
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.8186
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.5658 | 1.0 | 1783 | 6.1073 |
| 5.8094 | 2.0 | 3566 | 5.6862 |
| 5.431 | 3.0 | 5349 | 5.4065 |
| 5.1311 | 4.0 | 7132 | 5.2033 |
| 4.8862 | 5.0 | 8915 | 5.0575 |
| 4.6844 | 6.0 | 10698 | 4.9611 |
| 4.5186 | 7.0 | 12481 | 4.8921 |
| 4.3878 | 8.0 | 14264 | 4.8512 |
| 4.2768 | 9.0 | 16047 | 4.8295 |
| 4.1994 | 10.0 | 17830 | 4.8186 |
Framework versions
- Transformers 4.53.0
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2
- Downloads last month
- -